Lead ML/AI Engineer

5 days ago


Jersey City, New Jersey, United States Software Guidance and Assistance, Inc. Full time

Software Guidance & Assistance, Inc., (SGA), is searching for a Lead ML/AI Engineer for a direct placement assignment with one of our premier financial services clients in Jersey City, NJ.

Responsibilities :
s a Technical Engineering Manager on our Data Concerns Remediation Management platform, you will drive, design, PoC critical core components while acting as a trusted advisor to the senior management team and lead architect. You will make clear, simple and technically sound decisions and champion high standards of coding and architecture best practices. You will drive discussions with multiple business and technology stakeholders, manage global and regional teams and programs, make sure prioritization is in place, supervise end-to-end initiatives, co-ordinate implementation and post-implementation support, interact with stakeholders at many levels of the organization, from junior analysts to senior management across multiple departments.

Not only will you utilize management and technical expertise to lead major projects, but also you will manage your project goals, contribute to product strategy and work closely with the product owner and lead challenging initiatives. You will mentor and lead the junior and middle level talent within the team, ensuring we have a clear pipeline of talent to promote within the organization.

  • Design and build high-quality, highly reliable software
  • Partner closely with other development teams, quants and subject-matter experts in our businesses
  • Ensure our software platforms are compliant with the firm's security and SDLC (Software Development Life Cycle) processes
  • Run the platform at scale while continuing to innovate and evolve
Required Skills:
  • Bachelor's degree/University degree or equivalent experience
  • 10+ years of relevant experience
  • Strong knowledge and deep experience of Python and toolchains, Java, SQL, JavaScript (D3.js), Bash
  • Experienced in and strong knowledge of using AI/ML and more particularly LLMs eager to apply this rapidly changing technology. Machine Learning: Neural Networks, Decision Trees, SVM, NLP, Reinforcement Learning, Ensemble Methods
  • Strong knowledge with RAG (Retrieval-Augmented Generation), prompt engineering
  • Knowledge of advanced statistical/machine learning techniques, algorithms, concepts and experience in the application
  • Data Processing: Hadoop, Spark, Kafka, Hive, NumPy, Pandas, Matplotlib
  • Experience with CI/CD and MLOps tools/frameworks (e.g. MLflow and W&B)
  • Experienced in building and running a large platform at scale
  • Strong distributed systems skills and knowledge
  • Strong system architecture skills
  • Knowledge of other modern, functional languages e.g. Scala, Clojure, Rust, Elixir
  • Solid understanding of REST-ful design
  • Experience with Kubernetes
  • Development experience of at least one public cloud provider
  • Experience in implementing projects
  • Experience in systems analysis and programming of software applications
  • Demonstrated Subject Matter Expert (SME) in area(s) of Applications Development
  • Demonstrated knowledge of client core business functions
  • Demonstrated leadership, project management, and development skills
  • Relationship and consensus building skills
Preferred Skills:
  • Master's degree preferred
SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at https://sgainc.com/ .

SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company EEO page to request an accommodation or assistance regarding our policy.

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